Databricks Platform

Robotics Prcocess Automation, LLC; St. Louis (MO); On-site; USD 120,000 - 160,000; Full time

Job summary

ROBOTIC PROCESS AUTOMATION LLC seeks a skilled Databricks Platform Engineer to design, implement, and manage scalable Databricks environments on Azure. You will build and maintain workspaces, clusters, and data pipelines, while automating provisioning with Terraform, CI/CD, and scripting.

Collaborating with data scientists and ML engineers, you will monitor health, optimize compute/storage, and enforce security policies using Unity Catalog and related features.

Qualifications

• Experience architecting, deploying, managing, and supporting Azure Databricks Platform and Azure Data Lake solutions.
• Hands-on with scripting/CLI tools (Ansible, Terraform, Azure CLI, Databricks CLI, PowerShell or Bash).
• Preferred experience with Azure ADLS storage and Databricks tuning.
• Knowledge of CI/CD pipelines and Git versioning.
• Exposure to data ingestion/pipeline tools (Qlik Replicate, Qlik Compose, Databricks, Kafka, Matillion ELT, Snowflake).
• Experience in an Agile product development team.

Responsibilities

• Design, implement, and manage scalable Databricks platforms for performance and reliability.
• Create and manage Databricks workspaces and clusters with proper lifecycle management.
• Automate provisioning with IaC tools (Terraform, CI/CD pipelines) and scripting.
• Monitor platform health, performance, and cost with dashboards and monitoring integrations.
• Troubleshoot cluster configuration, job failures, and performance bottlenecks.

Skills

Databricks Data Engineering

Azure Databricks

Communication skills

Agile teamwork

Problem solving

Tools

Ansible

SQL

Terraform

Azure CLI

Databricks CLI

PowerShell

Bash

Git

Job description

What you’ll do

• Design, implement, and manage scalable and secure Databricks platforms to ensure optimal performance and reliability.
• Create and manage Databricks workspaces and clusters, including right‑sizing and lifecycle management of resources.
• Automate infrastructure provisioning and deployment using Infrastructure‑as‑Code tools like Terraform, GitLab CI/CD, and scripting languages (Python, Bash, PowerShell).
• Monitor platform health, performance, and cost by building dashboards and integrating with monitoring tools.
• Troubleshoot and resolve issues related to cluster configuration, job failures, and performance bottlenecks within Databricks environments.
• Collaborate with cross‑functional teams including data scientists, ML engineers, and product teams to deploy and maintain data pipelines and services on Databricks.
• Implement security and governance policies, including user management, access controls, and compliance adherence using Unity Catalog and other Databricks security features.
• Optimize compute and storage resources for cost efficiency without compromising performance, leveraging features like Delta Lake and Photon.
• Stay updated with new Databricks features and coordinate with product teams to evaluate and adopt them.
• Document platform architecture, best practices, troubleshooting guides, and provide mentorship to junior engineers on platform usage and optimization.

What you’ll need

• Required hands‑on experience in architecting, deploying, managing, and supporting Azure Databricks Platform, Azure Data Lake and related solutions.
• Required hands‑on experience working with Cloud provider tools and architecture (Azure).
• Required hands‑on experience using scripting languages and command‑line (CLI) tools such as Ansible, SQL, Terraform, Azure CLI, Databricks CLI, PowerShell and/or Bash.
• Preferred experience in management and tuning of data platforms like Azure ADLS storage and Databricks.
• Knowledge working with and maintaining CI/CD pipelines and versioning tools such as Git preferred.
• Knowledge with a broad set of data ingestion and data pipeline patterns, and associated tools like (Qlik Replicate, Qlik Compose, Databricks, Kafka, Matillion ELT and Snowflake Services).
• Experience with working in an agile product development team.
• Excellent communication skills and ability to articulate system designs and patterns to varying levels of leadership.

Mandatory Skills

DataBricks - Data Engineering.

ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.